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Le-Huynh Truc-Ly
I have over five years of experience in data analysis across projects spanning environmental science, health science, and biology. My passion lies in data analysis, visualization, automation, and creating digital tools for research. This very CV was even crafted using code.
Projects
Toward personalized acute myeloid leukemia (AML)
Biotech Research & Innovation Centre (BRIC), University of Copenhagen
Copenhagen, Denmark
2023 - Present
- Skills used — Bioinformatics, R, RMarkdown, Git, GNU Make
- Analysed Mass Spectrometry-based PhosphoProteomics (MS-PP) data to identify novel druggable oncogenic signaling molecules in a genetically engineered AML mouse model
- Analyzing MS-PP data from AML patients to identify a broad spectrum of relevant druggable key signalling molecules that can be targeted in a clinical setting for guided personalized AML treatment
Development spectrum of predictive biomarkers for neuropsychiatric systemic lupus erythematosus (NPSLE)
Graduate School of Biomedical Sciences, Nagasaki University
Nagasaki, Japan
2021 - 2022
- Skills used — Bayesian Modelling, R, SAS, RMarkdown, LaTeX, Git, GNU Make
- Estimated the cutoff concentration of anti-suprabasin antibodies in a huge patient database to predict NPSLE, through utilizing a novel Bayesian model
- Implemented reproducible workflow for data analysis and data visualization
Predictive model for toxic cyanobacteria occurrence based on eutrophic and climate data
Graduate School of Engineering, Nagasaki University
Nagasaki, Japan
2020 - 2023
- Skills used — Bayesian Modelling, R, JAGS, Stan, RMarkdown, LaTeX, Git, GNU Make
- Developed Bayesian model addressed zero-inflation issue in cyanobacterial data, predicting presence probability, abundance, and WHO alert level exceedance for toxic cyanobacteria
- Improved overall modelling efficiency through the implementation of Parallel Processing techniques
- Automated the data analysis and reporting system using GNU Make, R, and Rmarkdown
Education
Doctor of Philosophy ‑ PhD in Water and Environmental Science
Nagasaki University
Nagasaki, Japan
2018 - 2023
- Dissertation: Statistical Investigation into the Effects of Climate and Eutrophication on the Occurrence of Cyanobacteria in Small Ponds and Reservoirs
Master of Engineering ‑ MEng in Water and Environmental Engineering
Nagasaki University
Nagasaki, Japan
2016 - 2018
- Thesis: Statistical Analysis on the Relationship among Environmental Factors, Microcystin Synthesis Gene, and Microcystin Degradation Gene
Bachelor of Science - BS in Environmental Engineering Technology
Vietnam National University – Ho Chi Minh City (VNU-HCM) University of Science
Ho Chi Minh City, Vietnam
2012 - 2016
- Thesis: Research on Sewage Sludge Dewatering System using Solar Energy
Work Experience
Independent Data Analyst
Self-employed at lehuynh.rbind.io
N/A
2021 - Present
- Services: Reproducible data analysis (in environmental science, health science, biology, bioinformatics), data visualization, cartography, data communication, consulting, R package development
- Tools: R, SAS, Python, ggplot2, plotly, leaflet, Shiny
Project Researcher
Water Treatment Laboratory, Nagasaki University (Japan)
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2023
Research Assistant
Biological Treatment and Ecological Engineering Laboratory, Nagasaki University (Japan)
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2018 - 2019
Technical Assistant
Biological Treatment and Ecological Engineering Laboratory, Nagasaki University (Japan)
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2017 - 2019
Graduate Teaching Assistant
Graduate School of Engineering, Nagasaki University (Japan)
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2018 - 2020
Additional Information
Honours and awards
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- Planetary Health Research Fellowship, Nagasaki University, Japan (2022 – 2023)
- Asian Student Foundation Scholarship, Asian Student Foundation, Japan (2017 – 2019)
- Full scholarship for Master’s students, Nagasaki University, Japan (2016 – 2018)
- Monbukagakusho Honors Scholarship for International Students, Japan Student Services Organization (JASSO), Japan (2016 – 2017)
- The CHEER for Viet Nam Scholarship Award for Innovation and Creativity, CHEER for Viet Nam Organization, USA (2015)
Community engagement
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- Translated R cheat sheets (Git & GitHub, gtsummary, RStudio IDE) into Vietnamese (under review)
Publications
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- Hoang, T. T. T., Ichinose, K., Morimoto, S., Furukawa, K., Le-Huynh, T.-L., Kawakami, A. (2022). Measurement of anti‑suprabasin antibodies, multiple cytokines and chemokines as potential predictive biomarkers for neuropsychiatric systemic lupus erythematosus. Clinical Immunology, 237(March), 1–8.
- Angalika, M. W. S., Suzuki, S., Le‑Huynh, T.‑L., Itayama, T., Tanaka, W. (2022). Assessing nutrient budget of ungauged catchment using intermittent water quality markers. Maejo International Journal of Energy and Environmental Communication, 4(3), 1–10.
- Le‑Huynh, T.‑L., Iwami, N., Whangchai, N., Gutierrez, R., Shimizu, K., Itayama, T. (2022). Statistical analysis of the effects of environmental factors and fish species on class‑sorted phytoplankton composition in aquaculture ponds in northern Thailand. Maejo International Journal of Energy and Environmental Communication, 4(3), 32–38.
- Le‑Huynh, T.‑L., Itayama, T., Mitsunaga, K., Angalika, M., Suzuki, S. (2022). Application of hurdle Poisson model to predict the abundance of toxic cyanobacteria Microcystis in reservoirs. Maejo International Journal of Energy and Environmental Communication, 4(3), 47–51.
Selected Presentations
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- Le-Huynh, T.-L., Iwami, N., Praphrute, R., Whangchai, N., Gutierrez, R., Shimizu, K., Itayama, T., Statistical analysis on phytoplankton population at hypertrophic ponds in northern Thailand [Oral presentation], The 57th Annual Conference of Japan Society on Water Environment, Ehime, Japan, March 2023.
- Le-Huynh, T.-L., Itayama, T., Mitsunaga, K., Angalika, M., Suzuki, S., Predict toxic cyanobacteria Microcystis in reservoirs by Bayesian hurdle Poisson model [Oral presentation], 1st Campus Asia Program International Symposium, Nagasaki, Japan, February 2023.
- Le-Huynh, T.-L., Itayama, T., Mitsunaga, K., Using Bayesian hurdle Poisson model to predict cyanobacterial cell densities in Nagasaki reservoirs [Oral presentation], The 56th Annual Conference of Japan Society on Water Environment, Toyama, Japan, March 2022.
- Le-Huynh, T.-L., Mitsunaga, K., Itayama, T., A Bayesian model for predicting the growth of toxic Microcystis from air temperature and trophic state index [Oral presentation], The 3rd International Conference on Renewable Energy, Sustainable Environmental and Agricultural Technologies, Chiangmai, Thailand, December 2021.
- Le-Huynh, T.-L., Itayama, T., Nguyen, T. H. G., Xia, D., Shimizu, K., Iwami, N., Okano, K., Maseda, H., Praphrute, R., Ruangdet, K., Gutierrez, R., Whangchai, N., Influence of environmental factors on Microcystins degradation bacteria and toxigenic cyanobacteria bloom: a Bayesian approach [Poster presentation], The NaToxAq Conference on Natural Toxins: Environmental Fate & Safe Water Supply, Brno, Czech Republic, September 2020.